Iván Ramírez

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 14

Top Topics

Avoid Overfitting

Nonlinear Regression

Salient Region Detection

Top Venues

Res. Comput. Sci.

J. Comput. Appl. Math.

Publications

Cesar Beltran-Royo, Laura Llopis-Ibor, Juan José Pantrigo, Iván Ramírez
DC Neural Networks avoid overfitting in one-dimensional nonlinear regression. Knowl. Based Syst. 283 (2024)
Vanel A. Lazcano, Iván Ramírez, Felipe Calderero
Anisotropic Operator Based on Adaptable Metric-Convolution Stage-Depth Filtering Applied to Depth Completion. ACPR (3) (2023)
Gonzalo Galiano, Iván Ramírez, Emanuele Schiavi
Non-convex non-local reactive flows for saliency detection and segmentation. J. Comput. Appl. Math. 377 (2020)
Lei Xu, Iván Ramírez, Kalyan Veeramachaneni
Rewriting Meaningful Sentences via Conditional BERT Sampling and an application on fooling text classifiers. CoRR (2020)
Iván Ramírez, Alfredo Cuesta-Infante, Emanuele Schiavi, Juan José Pantrigo
Bayesian capsule networks for 3D human pose estimation from single 2D images. Neurocomputing 379 (2020)
Iván Ramírez, Alfredo Cuesta-Infante, Juan José Pantrigo, Antonio S. Montemayor, Jose Luis Moreno, Valvanera Alonso, Gema Anguita, Luciano Palombarani
Convolutional neural networks for computer vision-based detection and recognition of dumpsters. Neural Comput. Appl. 32 (17) (2020)
Bolívar Chacua, Iván García, Paul Rosero, Luis Suárez, Iván Ramírez, Zhima Simbaña, Marco Pusdá
People Identification through Facial Recognition using Deep Learning. LA-CCI (2019)
Yi Sun, Iván Ramírez, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
Learning Fair Classifiers in Online Stochastic Settings. CoRR (2019)
Alfredo Núñez, Ali Jamshidi, Hongrui Wang, Jurjen Hendriks, Iván Ramírez, Jan Moraal, Rolf P. B. J. Dollevoet, Zili Li
A Condition-Based Maintenance Methodology for Rails in Regional Railway Networks Using Evolutionary Multiobjective Optimization. CEC (2018)
Iván Ramírez, José Alberto Hernández Aguilar, Miguel A. Ruiz-Jaimes, Marco Antonio Cruz-Chavez, Gustavo Arroyo-Figueroa
Design and Implementation of a CVRP Simulator Using Genetic Algorithms. Res. Comput. Sci. 147 (2) (2018)
Iván Ramírez, Gonzalo Galiano, Emanuele Schiavi
Non-convex non-local flows for saliency detection. CoRR (2018)
Iván Ramírez, Adrián Martín, Emanuele Schiavi
Optimization of a variational model using deep learning: An application to brain tumor segmentation. ISBI (2018)
Iván Ramírez, Gonzalo Galiano, Norberto Malpica, Emanuele Schiavi
A Non-Local Diffusion Saliency Model for Magnetic Resonance Imaging. BIOIMAGING (2017)
Alberto Ochoa, Miguel A. Ruiz-Jaimes, Sandra Leon, Yadira Toledo-Navarro, Iván Ramírez
Decreased Business Uncertainty by Using Bayesian Networks for the Paradigm Shift in Business Simulator. Res. Comput. Sci. 122 (2016)